System Engineer II – Mission Analyst (Onsite)

RTX•McKinney, TX

2d•Onsite

About The Position

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. The Operations and Mission Analysis department supports customer focused mission modeling and simulation activities for all customer areas at Raytheon. Our teams develop, analyze, and create flexible integration solutions crossing all product areas such as sensors, effectors, command and control, logistics, and operations. They develop tools and methods to evaluate campaign, mission, and system level analysis and visualizations based on customer requirements. The department has a tradition of excellence through innovation and teamwork. As a System Engineer II – Mission Analyst, you will be part of a team of systems engineers dedicated to delivering best-in-class Raytheon products for the warfighter through modeling, simulation, and analysis. Your work will help demonstrate mission effectiveness of systems and system-of-systems operating in complex threat environments. On this team, you will be responsible for developing and analyzing solutions across mission technologies, including sensors, effectors, communications, command and control, and more. Onsite in McKinney, TX.

Requirements

Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience unless prohibited by local laws/regulations.
Experience working with scripting languages including Python, Bash, or other common languages.
Experience working with scientific computing environments such as MATLAB.
Experience with Military Operations Analysis, Modeling & Simulation experience in the defense industry, and/or data analysis & visualization.
Active and transferable U.S. government issued Secret security clearance is required prior to start date.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Nice To Haves

Experience working in Linux environments.
Experience with standard government modeling tools including AFSIM, Suppressor, Brawler, or similar tools.
Ability to understand tactics as described by military experts and to represent their employment (verbally, graphically, and in simulations).
Familiar with performing data analysis and statistics with large volumes of data.
Familiar with Numerical Optimization Techniques, Analysis of Alternatives, or Design of Experiments.
Experience providing briefs and presentations to US government customers.
Active Top-Secret Clearance

Responsibilities

Participating in the development and implementation of model-based solutions to support mission trade studies using mission and engagement level simulations.
Responsible for the development and integration of variable-fidelity computer models and simulations that effectively capture system and system of systems effects in complex threat environments.
Modeling of system and mission kill chains using Government, Commercial, and/or Raytheon simulation tools.
Executing mission system simulations and analyzing their results.
Development of metrics and results products that communicate the chain of events that led to an action.
Participating in technical reviews with internal and external customers.
You will contribute and collaborate in a team environment, receiving input from the program, external customers, or team experts, and work on projects, as you determine, develop, and implement analytic approaches that will generate the supporting data to inform programmatic decisions.